Publication: Re-evaluating method-level bug prediction
Re-evaluating method-level bug prediction
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Pascarella, L., Palomba, F., & Bacchelli, A. (2018). Re-evaluating method-level bug prediction. 592–601. https://doi.org/10.1109/SANER.2018.8330264
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Bug prediction is aimed at supporting developers in the identification of code artifacts more likely to be defective. Researchers have proposed prediction models to identify bug prone methods and provided promising evidence that it is possible to operate at this level of granularity. Particularly, models based on a mixture of product and process metrics, used as independent variables, led to the best results. In this study, we first replicate previous research on method- level bug prediction on different systems/timespans. Afterwards,
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- Pascarella, Luca
- Palomba, Fabio
- Bacchelli, Alberto
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Pascarella, L., Palomba, F., & Bacchelli, A. (2018). Re-evaluating method-level bug prediction. 592–601. https://doi.org/10.1109/SANER.2018.8330264
